GCDEC

GCDEC: Google Cloud Data Engineer Certification

Basic Info

Certification overview: https://cloud.google.com/certification/data-engineer

Sample case study: https://cloud.google.com/certification/guides/data-engineer/casestudy-flowlogistic

What this certification "certifies" you can do:

• Build and maintain data structures and databases
• Design data processing systems
• Analyze data and enable machine learning
• Model business processes for analysis and optimization
• Design for reliability
• Visualize data and advocate policy
• Design for security and compliance

Underlying goal: building data-handling capabilities (pipelines to ingest, process, and analyze data, and build models)

• Data engineers enable better decision-making
• Cloud services enable you to do more stuff with less knowledge and work - more infrastructure and better models, without getting bogged down by rote devops tasks or slogging through low-level statistics

What is a Data Engineer

Data engineers do any number of things:

• Design, build, and maintain data structures, databases, data processing systems, data pipelines
• Move data from one place to another
• Data science
• Enabling machine learning to happen, doing machine learning themselves
• Model the process
• Enable data-driven decision making in a company

Technology Stack

Case study with an example of the kind of technology stack that you might see in use at a company:

• Google Cloud/Case Study

List of all pages related to Google Cloud platform:

• Category:Google Cloud